Open AccessZero bus load flow method for the integration of renewable DGs by mixed‐discrete particle swarm optimisation‐based fuzzy max–min approach
Author(s) -
Barik Soumyabrata,
Das Debapriya,
Bansal Ramesh C.
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0713
Subject(s) - sizing , jacobian matrix and determinant , particle swarm optimization , mathematical optimization , renewable energy , fuzzy logic , computer science , control theory (sociology) , voltage , grid , power flow , mathematics , power (physics) , electric power system , engineering , electrical engineering , art , physics , geometry , control (management) , quantum mechanics , artificial intelligence , visual arts
This study proposes an approach to determine the optimal placement and sizing of renewable distributed generations (DGs) and shunt capacitor in the distribution network (DN) with a pre‐defined energy contract strategy with the main grid by using fuzzy integrated mixed‐discrete particle swarm optimisation (MDPSO) based method. The proposed pre‐defined contract strategies are implemented in this study using the modified Newton–Raphson (NR) load flow method with the concept of the P Q V δ − zero bus. The modifications in the Jacobian matrix in the NR load flow method is developed. MDPSO method is adopted to take care of both the continuous and the discrete variables, to determine the proper locations and the sizes of renewable DGs and shunt capacitor by reducing the active power loss, improving the voltage profile, and reducing the annual costs of the DGs. The multi‐objective optimisation is solved by using the fuzzy max–min‐based technique. The proposed method of DG placement is tested on 69 bus DN for three different scenarios. The results obtained from the proposed multi‐objective method are also compared with the weighted sum approach for different combinations.